Quantitative analysis of target components by comprehensive two-dimensional gas chromatography

Area of Science:

• Analytical Chemistry
• Chromatography

Background:

• Quantitative analysis using comprehensive two-dimensional gas chromatography (GC x GC) is not widely reported.
• A significant barrier to GC x GC adoption is the lack of appropriate analytical software.

Purpose of the Study:

• To generate quantitative results from a large GC x GC dataset (32 chromatograms).
• To compare the accuracy and precision of conventional integration versus multiway analysis methods for GC x GC data.
• To evaluate the speed and automation potential of multiway analysis compared to traditional integration.

Main Methods:

• Quantitative analysis of a GC x GC dataset.
• Comparison of conventional integration techniques.
• Application of multiway analysis methods, specifically Parallel Factor (PARAFAC) analysis.

Main Results:

• Conventional integration demonstrated slightly better accuracy and precision for the analyzed components.
• Multiway analysis methods, including PARAFAC, showed significant advantages in terms of speed and automation potential.
• The study successfully generated quantitative results from a substantial GC x GC dataset.

Conclusions:

• While conventional integration offers marginal benefits in accuracy, multiway analysis presents a more efficient and automatable approach for quantitative GC x GC.
• Further development of multiway analysis software is crucial for advancing quantitative applications of GC x GC.
• Multiway methods are a promising alternative for handling large GC x GC datasets, offering scalability and improved workflow efficiency.